Significantly underestimated traffic-related ammonia emissions in Chinese megacities: Evidence from satellite observations during COVID-19 lockdowns

Chemosphere. 2024 Aug:361:142497. doi: 10.1016/j.chemosphere.2024.142497. Epub 2024 May 31.

Abstract

Ammonia (NH3) plays an important role in the formation of atmospheric particulate matter, but the contribution of traffic-related emissions remains unclear, particularly in megacities with a large number of vehicles. Taking the opportunity of the stringent COVID-19 lockdowns implemented in Beijing and Shanghai in 2022, this study aims to estimate the traffic-related NH3 emissions in these two megacities based on satellite observations. Differences between urban and suburban areas during the lockdown and non-lockdown periods are compared. It was found that despite different dominating sources, the overall NH3 concentrations in urban and suburban areas were at a similar level, and the lockdown resulted in a more prominent decrease in urban areas, where traffic activities were most heavily affected. The traffic-related contribution to the total emission was estimated to be ∼30% in megacities, and ∼40% in urban areas, which are about 2-10 times higher than that in previous studies. The findings indicate that the traffic-related NH3 emissions have been significantly underestimated in previous studies and may play a more critical role in the formation of air pollution in megacities, especially in winter, when agricultural emissions are relatively low. This study highlights the importance of traffic-related NH3 emissions in Chinese megacities and the need to reassess the emissions and their impacts on air quality.

Keywords: COVID-19; NH(3); Remote sensing; Traffic emissions; Urban air quality.

MeSH terms

  • Air Pollutants* / analysis
  • Air Pollution* / statistics & numerical data
  • Ammonia* / analysis
  • Beijing
  • COVID-19* / epidemiology
  • China
  • Cities*
  • Environmental Monitoring*
  • Humans
  • Particulate Matter / analysis
  • SARS-CoV-2
  • Vehicle Emissions* / analysis

Substances

  • Ammonia
  • Air Pollutants
  • Vehicle Emissions
  • Particulate Matter